Information regarding flight schedules, available aircraft, and maintenance information is received from one or more systems. A graph database is generated based on the received information. A graph traversal algorithm is applied to the graph database to determine an assignment of the available aircraft to the flight schedules based on reducing a risk of aircraft-on-ground at a remote location, reducing actual costs, or reducing a time cost.

In an approach to improve multi-data center environments by minimizing the environmental impact of workloads in multi-data center environments embodiments migrate at least a portion of one or more workloads between one or more data centers automatically to maximize a usage of renewable energy based on a predetermined threshold score of input power and a combination of renewal energy sources. Further, embodiments dictate, by a policy engine, where at least a portion of the one or more workloads can be hosted. Additionally, embodiments control, by a scheduling engine, how, when, and where at least a portion of the one or more workloads will migrate, and perform data replication to migrate data between a plurality of data center locations.

A system includes a controller device and an infrastructure management subsystem. The controller device receives a selection of an anticipated future change to one or more characteristics of a baseline demand. The infrastructure management subsystem receives the baseline demand and the anticipated future change to the one or more characteristics of the baseline demand. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines a counter-balancing turbulence for the anticipated turbulence. The counter-balancing turbulence comprises counter-balancing fluctuations that destructively interfere with the anticipated fluctuations of the anticipated turbulence. The infrastructure management subsystem determines one or more infrastructure configurations indicating a distribution of computing resources amongst users in order to achieve the counter-balancing turbulence. One of the determined infrastructure configurations is automatically implemented.

A processing system may determine a plurality of aspects of a trip of a user, each of the plurality of aspects associated with a travel service provider of a plurality of travel service providers, identify a plurality of travel service provider applications that are available on the mobile computing device and that are associated with the plurality of travel service providers, and obtain an authorization of the user of the mobile computing device to interact with the plurality of travel service provider applications in connection with the trip. The processing system may then detect an event associated with the trip and perform, in response to detecting the event, at least one task via a second travel service provider application using a first set of data from at least a first of the plurality of travel service provider applications, where the second travel service provider application is available on the mobile computing device.

An embodiment relates to a trash collection device comprising a trash receptacle with a unique identification and an opening to receive a class of trash; an identification scanner for recognizing a user; a trash item counter; a fill level sensor; a display configured to interact with the user; a compactor; a solar panel configured to charge a battery; a data communicator configured to communicate date to a cloud storage; a processor configured to generate incentive for the user; wherein the trash collection device is configured to be modular and configurable to connect with another similar trash collection device to enable to collect additional trash class and is configured to interact with each other through a common software. The device, method and system are further used to generate recycling analytics by using the stored data to provide incentives to users and to facilitate planning of downstream operations.

According to some embodiments, a system and method are provided comprising a vegetation management module to receive image data from an image source; a memory for storing program instructions; a vegetation management processor, coupled to the memory, and in communication with the vegetation module, and operative to execute program instructions to: receive first image data and second image data for an area of interest; overlay the first image data over the second image data to generate an overlaid image; receive feeder attribute data for at least one feeder in the overlaid image; generate a risk score for the at least one feeder based in part on the received feeder attribute data; and generate a visualization based on the at least one feeder and the generated risk score. Numerous other aspects are provided.

An operating situation obtaining unit obtains the operating situation information of a plurality of operating vehicles along a predetermined route. A delayed vehicle extraction unit extracts a delayed vehicle that is delayed in actual operation relative to the operation schedule from among the plurality of operating vehicles, based on the operating situation information of the respective operating vehicles. An overtaking instruction unit outputs an overtaking instruction to overtake the delayed vehicle to a following vehicle that immediately follows the delayed vehicle.

Human-machine interface for required time of arrival (RTA) constraint negotiation. Embodiments present critical RTA information and results of associated data calculations to the pilot in a concise and informative manner using a dialogue box with intuitive graphical displays. Embodiments present critical RTA information to assist a pilot in negotiating the RTA constraint with air traffic controllers, accepting the clearance, and having confidence in the system that it will achieve the defined RTA constraint.

Resource planning with incomplete information is provided by updating tentative vacancies for roles in an assignment plan; evaluating the assignment plan based on simulated bids for resources to fill the tentative vacancies; in response to determining that the simulated bids fulfill the assignment plan according to an assignment threshold, publishing the tentative vacancies as actual vacancies for actual bids; receiving actual bids from at least a portion of the resources; evaluating the assignment plan based on the actual bids; and in response to determining that the actual bids fulfill the assignment plan, publishing a update plan based on the actual bids as awarded to the resources.

A method for use with a facility including a plurality of physical assets and an Internet of Things (IoT) sub-system including receiving initial asset data, receiving by an enterprise asset management sub-system (EAM) monitoring data, determining by the EAM that a plurality of changed attribute values have changed, storing in the EAM changed asset data, and taking a responsive action by the EAM.